Databricks Databricks-Certified-Data-Engineer-Professional - PDF電子當

Databricks-Certified-Data-Engineer-Professional pdf
  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2025-09-10
  • 問題數量:127 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2025-09-10
  • 問題數量:127 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
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Databricks-Certified-Data-Engineer-Professional Testing Engine
  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2025-09-10
  • 問題數量:127 題
  • 軟件版價格: $59.98
  • 軟件版

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最新的 Databricks Certification Databricks-Certified-Data-Engineer-Professional 免費考試真題:

1. An external object storage container has been mounted to the location /mnt/finance_eda_bucket.
The following logic was executed to create a database for the finance team:

After the database was successfully created and permissions configured, a member of the finance team runs the following code:

If all users on the finance team are members of the finance group, which statement describes how the tx_sales table will be created?

A) A logical table will persist the physical plan to the Hive Metastore in the Databricks control plane.
B) A logical table will persist the query plan to the Hive Metastore in the Databricks control plane.
C) An external table will be created in the storage container mounted to /mnt/finance eda bucket.
D) A managed table will be created in the DBFS root storage container.
E) An managed table will be created in the storage container mounted to /mnt/finance_eda_bucket.


2. A data engineer is testing a collection of mathematical functions, one of which calculates the area under a curve as described by another function.
Which kind of the test does the above line exemplify?

A) functional
B) End-to-end
C) Unit
D) Integration
E) Manual


3. A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from structure.
The silver_device_recordings table will be used downstream for highly selective joins on a number of fields, and will also be leveraged by the machine learning team to filter on a handful of relevant fields, in total, 15 fields have been identified that will often be used for filter and join logic.
The data engineer is trying to determine the best approach for dealing with these nested fields before declaring the table schema.
Which of the following accurately presents information about Delta Lake and Databricks that may Impact their decision-making process?

A) By default Delta Lake collects statistics on the first 32 columns in a table; these statistics are leveraged for data skipping when executing selective queries.
B) Because Delta Lake uses Parquet for data storage, Dremel encoding information for nesting can be directly referenced by the Delta transaction log.
C) Tungsten encoding used by Databricks is optimized for storing string data: newly-added native support for querying JSON strings means that string types are always most efficient.
D) Schema inference and evolution on Databricks ensure that inferred types will always accurately match the data types used by downstream systems.


4. The view updates represents an incremental batch of all newly ingested data to be inserted or Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from updated in the customers table.
The following logic is used to process these records.
MERGE INTO customers
USING (
SELECT updates.customer_id as merge_ey, updates .*
FROM updates
UNION ALL
SELECT NULL as merge_key, updates .*
FROM updates JOIN customers
ON updates.customer_id = customers.customer_id
WHERE customers.current = true AND updates.address <> customers.address ) staged_updates ON customers.customer_id = mergekey WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN UPDATE SET current = false, end_date = staged_updates.effective_date WHEN NOT MATCHED THEN INSERT (customer_id, address, current, effective_date, end_date) VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null) Which statement describes this implementation?

A) The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
B) The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
C) The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
D) The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.


5. A data team's Structured Streaming job is configured to calculate running aggregates for item sales to update a downstream marketing dashboard. The marketing team has introduced a new field to track the number of times this promotion code is used for each item. A junior data engineer suggests updating the existing query as follows: Note that proposed changes are in bold.
Original query:
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

Proposed query:

Proposed query:
.start("/item_agg")
Which step must also be completed to put the proposed query into production?

A) Increase the shuffle partitions to account for additional aggregates
B) Register the data in the "/item_agg" directory to the Hive metastore
C) Run REFRESH TABLE delta, /item_agg'
D) Remove .option (mergeSchema', true') from the streaming write
E) Specify a new checkpointlocation


問題與答案:

問題 #1
答案: E
問題 #2
答案: C
問題 #3
答案: A
問題 #4
答案: C
問題 #5
答案: E

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